Community knowledge assessment in a knowledge building environment

被引：44

作者：

Hong, Huang-Yao ^{[1
]}

Scardamalia, Marlene ^{[2
]}

机构：

[1] Natl Chengchi Univ, Dept Educ, Taipei 11605, Taiwan

[2] Univ Toronto, Ontario Inst Studies Educ, Toronto, ON M5S 1A1, Canada

来源：

COMPUTERS & EDUCATION | 2014年 / 71卷

关键词：

Knowledge building; Computer-mediated communication; Collaborative learning; Elementary-level science; Learning communities; STUDENTS;

D O I：

10.1016/j.compedu.2013.09.009

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study investigates ways of using key terms to represent and assess community knowledge in an online knowledge building environment. Knowledge Forum - an environment specially designed to support advances in community knowledge - incorporates key-term analytic tools. In the current study these tools were used to determine if key-term measures complement conventional online behavioral measures in assessing community knowledge advances. Discourse rated as more reflective and depth-oriented showed higher percentages of shared key terms and higher frequency use of shared key terms than less reflective, shallower discourse. Limitations and possibilities for using key terms for automated assessment and visual representation of community knowledge are discussed. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：279 / 288

页数：10

共 36 条

[1]

[Anonymous], 2000, AJ, DOI DOI 10.1086/301513

[2]

Bereiter C., 1996, HDB ED HUMAN DEV, P485, DOI [DOI 10.1111/B.9780631211860.1998.X, 10.1111/b.9780631211860.1998.x]

[3]

Bereiter C., 2002, Education and mind in the knowledge age

[4]

Bourner J., 2001, Assessment and Evaluation in Higher Education, V26, P19, DOI DOI 10.1080/02602930020022264

[5]

Burtis J., 2002, ANAL TOOLKIT KNOWLED

[6]

Chen B., 2012, The future of learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012), V1, P111

[7]

Cheng W., 2000, TEACH HIGH EDUC, V5, P243, DOI DOI 10.1080/135625100114885

[8] Assessing the similarity of distributions - Finite sample performance of the empirical Mallows distance [J].

Czado, C ;

Munk, A .

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 1998, 60 (04) :319-346

[9] Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review [J].

De Wever, B ;

Schellens, T ;

Valcke, M ;

Van Keer, H .

COMPUTERS & EDUCATION, 2006, 46 (01) :6-28

[10]

Hassan-Montero Y., 2006, INT C MULTIDISCI PLI, P25, DOI DOI 10.1177/1473871620966638

← 1 2 3 4 →